Olvy 2.0 - Analyze user feedback 10x faster with AI

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Do you also spend hours organizing and analyzing feedback? There's a better way. Olvy integrates with your Slack, Zendesk, Intercom, Hubspot, and everywhere your users are to bring all your user feedback in one place and analyze it all using AI πŸͺ„

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This is a superb instrument for scrutinizing customer reviews and confirming your theories in less time.
πŸ’― listening to users shouldn't take months for a survey and weeks for analysis - it has to be magic πŸͺ„
Congratulations on the launch ?makers Love how the team is using AI for feedback summarization and translation. Also feedback to engineering tickets isπŸ’‘And awesome video as always πŸ‘‘
Thanks a lot for the comment, Suyash. Let us know once you try it out πŸ™Œ
thank you so much Suyash πŸ™Œ Would love to know your opinions once you try it out πŸš€
I have tried out Olvy and the pace of execution by the team is insane. They have deep customer empathy and orientation is why I was all in on them.
Thank you so much for the appreciation, and thanks for the early feedback ❀️
so glad to hear this, thank you so much ❀️
glad you liked it.
Congrats on the Launch Arnob! πŸš€ Feedback is very important, especially for early stage startups, to find out where and how the product is positioned. This seems to be helpful!
Thankyou Shay πŸŽ‰
Congrats on launching! πŸš€ Super valuable for making user feedback actionable and improving your product! By the way I love the design of the launch page and Olvy AI page πŸ‘
Thankyou Alexandre! πŸ’― Building a continuous user feedback loop is super valuable
Congrats! when you say you analyse feedback. What's a typical analysis report?
Hi Andre, Once feedback starts flowing into your Olvy workspace, it's run through sentiment analysis, keyword extraction, and tagged based on its type. This makes a bunch of qualitative metadata available to you which you can use to get to your own insights. For example, the Olvy AI Copilot can help you answer questions like, "Which features are getting the most bug reports?" "What are the top feature requests?" "What is overview of everything my users are asking for?" ... and a lot more The AI Copilot helps you summarize everything, and it also integrates with your CRM so you have a sense of what impact will resolving a feedback have on your revenue. I'd highly recommend, signing up and uploading any CSV or Excel file you have with some of your user feedback to see the platform in action. Happy to answer any questions.
We only have Google analytics user patterns so far. And some from Crisp chat. But user feedback is usually mostly feature requests etc. I think the goldmine is to analyse observable google analytics data. But I have not found anything that does this yet.
That's sounds like a good idea, would love to get more of your thoughts on this. What question do you find yourself asking? and maybe what would an ideal solution to that question look like for you?.
The data is there. We just have to interpret it. With observable telemetries you can almost read peoples thoughts. But there are no tools to sort and make sense of the data at scale. Not that I am aware of. now with AI. Someone should be able to do it.
Good going Olvy AI team. Upwards & Onwards πŸŽ‰
Awesome work!
Thankyou Kavil
Great work team Olvy, looks amazing πŸ’―
Thankyou Aditya! πŸ”₯
thank you so much Aditya πŸ™Œ
The product looks incredible πŸ”₯ Looking forward to giving it a shot. Although congrats team on the launch πŸš€πŸš€
Hi Manisha! Thankyou - Would love to hear your feedback when you give it a try.
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